Ventilator Biometric Feedback Loop for Remote Titration
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Solution Overview
Problem
Current mechanical ventilator systems for patients with chronic respiratory insufficiency or failure face challenges in remote monitoring, as they often lack timely adjustments to changing patient needs, leading to inappropriate response times and potential respiratory complications when caregivers are absent or unable to intervene.
Innovation Solution
A programmable mechanical ventilator system that allows clinicians to automatically update ventilation settings based on real-time biometric data, targeting predetermined measures of normality without relying on diagnostic algorithms, ensuring adjustments are within approved ranges and transparently following physician-directed interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If remote monitoring with sporadic reviews is used, then device complexity is reduced, but response time to patient needs deteriorates
Solution Approach 1:
The ventilator system performs self-adjustment of therapy settings by automatically analyzing biometric data and modifying ventilation parameters according to pre-programmed clinical protocols, eliminating the need for continuous manual intervention while maintaining timely response to patient needs
Solution Approach 2:
The system continuously monitors biometric parameters and uses this feedback to automatically adjust ventilation settings in real-time, creating a closed-loop control system that responds immediately to changes in patient condition without requiring external intervention
2Manufacturing precision
If manual titration by skilled personnel is performed, then manufacturing precision of therapy settings is improved, but productivity deteriorates
Solution Approach 1:
The ventilator system autonomously performs the titration function by automatically analyzing biometric data and adjusting ventilation parameters according to pre-programmed clinical protocols, eliminating the need for repeated manual interventions while maintaining precision
Solution Approach 2:
The system dynamically adjusts ventilation parameters based on real-time biometric data analysis, automatically modifying therapy settings to optimize patient outcomes without requiring manual re-evaluation at each follow-up appointment
3Reliability
If expert manpower continuously monitors patients, then reliability of patient care is improved, but device complexity increases
Solution Approach 1:
The ventilator system performs self-monitoring and self-adjustment by automatically analyzing biometric data and modifying therapy settings according to pre-programmed clinical protocols, maintaining reliable patient care without requiring continuous expert intervention
Solution Approach 2:
The system implements continuous automated monitoring with real-time feedback loops that analyze biometric parameters and automatically adjust ventilation settings, ensuring reliable patient care through algorithm-driven decision-making rather than continuous human oversight
Data Source
AI summary
A system and method are provided for dynamically controlling operation of a mechanical ventilator for automatic targeting of a monitored parameter. A ventilator prescription includes an initial ventilator configuration, a prescribed target biometric value, comparator formulae for comparing a current condition value to the prescribed target biometric value, and modification formulae for generating modification parameters to modify the current configuration of the system. The ventilator system operates according to the initial configuration, continuously monitors patient biometric sensors and system biomarker calculators, periodically determines a current condition value, and compares the current condition value to the target biometric value. If the current condition value does not meet the target biometric value, the system generates modification parameters to modify the current configuration of the system and automatically reconfigures the current configuration according to the modification parameters to meet the prescribed target value.


